Local Whittle estimation in nonstationary and unit root cases
arXiv:math/0406462 · doi:10.1214/009053604000000139
Abstract
Asymptotic properties of the local Whittle estimator in the nonstationary case (d>{1/2}) are explored. For {1/2}<d\leq 1, the estimator is shown to be consistent, and its limit distribution and the rate of convergence depend on the value of d. For d=1, the limit distribution is mixed normal. For d>1 and when the process has a polynomial trend of order α>{1/2}, the estimator is shown to be inconsistent and to converge in probability to unity.
References in corpus (1)
Cited by in corpus (9)
- Exact local Whittle estimation of fractional integration
- Leverage effect in energy futures
- Gold, currencies and market efficiency
- Invariance principles for fractionally integrated nonlinear processes
- Typical Algorithms for Estimating Hurst Exponent of Time Sequence: A Data Analyst's Perspective
- Multiple local whittle estimation in stationary systems
- A Semiparametric Estimator for Long-Range Dependent Multivariate Processes
- Commodity futures and market efficiency
- Nonstationarity-extended Whittle Estimation